Ian Quigley

Cofounder, @LeashBio. Ex-Recursion, Arima Genomics, Nanocellect, Salk, UT Austin, Baylor College of Medicine, Rice. He/him.

[Oded Rechavi @OdedRechavi]

Most experiments fail, and negative results rarely get published. This means LLMs are unaware of the outcomes of most experiments.

[Ian Quigley @allmeasures]

@bauer_lesavage @_DimensionCap Thanks for the Clever Hans shoutout!

[Ron Alfa @Ronalfa]

Another great research piece by @_DimensionCap @bauer_lesavage on Training Data for Bio AI.

Models will only be as good as the underlying data, and the biology they learn will be constrained by the limitations of that data.

We need to think deeply about scaling the best quality data to solve human bio with AI. Our thesis from day 1 at @NOETIK_ai.

[Ian Quigley @allmeasures]

Probably noisy as hell but if you were smart about the chemical library design .. so crazy it just might work

[Ian Quigley @allmeasures]

Somebody needs to do this and then throw a DEL at it and do in situ sequencing of the DEL barcodes. You could get cellular chemistry tropism at scale

[Ali H. Shaib @AliHShaib]

Hello world, meet 1,000× Expansion Microscopy.
1,000,000,000× expansion by volume! A gel that starts at a few centimeters will then expand to the volume of an Olympic swimming pool. https://t.co/E43kxx4O5M
In our new bioRxiv preprint, work carried out between MIT and UMG, led by Helena Hu in collaboration with scientists from the labs of @eboyden3 Ed Boyden, Silvio Rizzoli, and myself, we present Thousandfold Expansion Microscopy.
By enlarging biological specimens across multiple rounds of expansion, molecular-scale features, as small as the distances between adjacent amino acids, can be visualized with conventional optical microscopes.
Democratizing super-resolution microscopy.

[Ian Quigley @allmeasures]

This is such a banger of an ASCO

[Avi Roy @agingroy]

A new cancer drug works like a molecular handcuff. One arm grabs a passing immune cell. The other grabs the tumor. It clamps them together and forces the kill, whether the cancer agrees to the meeting or not.

That trick cleared blood cancers a decade ago. Blinatumomab still does it in leukemia.

Solid tumors blocked it for one reason: the old handcuffs could only grab a protein sitting on the cell’s surface, and solid tumors hide their tells inside the cell.

This one reads the inside. Its grabbing arm is built from a T-cell receptor, so it spots the scraps of internal proteins that every cell puts on display. In a phase 1 study, 61 patients, it shrank head and neck, melanoma, and lung tumors that surface-only drugs never reached.

Solid tumors are most cancer. This is the first handcuff that fits them.

[Tasuku Ishida @TasukuIshida]

Animals have expanded the evolutionary legacy of unicellular ancestors in blood cells
https://t.co/1sch9rgjAT

[IdoAmitLab @IdoAmitLab]

For those of you who think macrophages do almost everything, rethink “almost.”
They are programmable cells, recruited into whatever new function evolution needs.
https://t.co/tz6VrVQWpw

[Romain Lopez @_romain_lopez_]

We built a joint experimental and computational platform for scalable multi-modal single-cell chemical screens — profiling RNA, protein (including phospho-signaling), and chromatin accessibility responses to thousands of small molecule perturbations in parallel. https://t.co/M5x4CNLCTA

[Ian Quigley @allmeasures]

So let's help where we can now, and invent ways to measure things where we can't. A mechanistic model of a cell is probably going to be pretty bad right now, since we can't possibly measure all of the important aspects. (n/n)

[Ian Quigley @allmeasures]

Physical dynamics of proteins in an intact tissue measured over time, driven by cytoskeletal interactions.

Biology like this is why virtual cell efforts are woefully incomplete. Nobody is able to detect this kind of stuff at scale! (1/n)

[kuba sędziński @ksedzinski]

💥 🚀 New preprint! 🎉🥳
How do hundreds of organelles organize themselves into near-perfect patterns inside a cell, without a blueprint? We dive deep into how basal bodies (BBs) self-organize in MCCs - and how actin actively tunes their dynamics into order 🍪
🧵👇 (1/17)

[Ian Quigley @allmeasures]

Being thoughtful about what we can model from existing measurement modalities is going to be how we help patients in the near term, and we should also be thoughtful about what technologies to build to measure things we can't model yet.

[kuba sędziński @ksedzinski]

💥 🚀 New preprint! 🎉🥳
How do hundreds of organelles organize themselves into near-perfect patterns inside a cell, without a blueprint? We dive deep into how basal bodies (BBs) self-organize in MCCs - and how actin actively tunes their dynamics into order 🍪
🧵👇 (1/17)

[Ian Quigley @allmeasures]

what the

[Peter Ly @PeterLyLab]

Excited to share our latest paper, out today @CellCellPress. We found that large pieces of the human genome can transfer between cells upon direct contact, endowing recipient cells with heritable phenotypic changes. (1/7)

https://t.co/SbshGhofN0

[Ian Quigley @allmeasures]

In the life sciences, imaging and DNA sequencing (which is also imaging) are the most scalable knowledge creation engines by far. Use them.

[Richard Sutton @RichardSSutton]

The bitter lesson in 26 words:

Don’t be distracted by human knowledge, as AI has been historically.
Instead focus on methods for creating knowledge that scale with computation, like search and learning.